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Next week, scientists with connections to U.S. particle physics will make their morning coffee, boot up their computers and log in to a virtual community planning meeting with over 1,500 colleagues. The four-day gathering will set the stage for a process known as Snowmass, during which scientists will develop a collective vision for the next decade of U.S. particle physics research. The Snowmass process seeks to identify the most promising questions to explore in future research.

A scientist, avid runner and Cajun food cook, Bryan Ramson is helping solve the universe’s mysteries as a member of two Fermilab-hosted neutrino experiments: NOvA and the international Deep Underground Neutrino Experiment. Eager to share the joy of science with others, Ramson is active in physics outreach in the Chicago community.

Fermilab and partners in northern Illinois have established the region as a leader in particle accelerator science and technology. Few places in the world boast such a concentrated effort in particle acceleration research, developing and building cutting-edge particle accelerators, and growing an accelerator-focused workforce.

Fermilab scientists have implemented a cloud-based machine learning framework to handle data from the CMS experiment at the Large Hadron Collider. Now they can begin to use graph neural networks to boost their pattern recognition abilities in the search for new particles.

Handedness — and the related concept of chirality — are double-sided ways of understanding how matter breaks symmetries. Different-handed object pairs reveal some puzzling asymmetries in the way our universe works.

Scientists are testing the components and systems for the international Deep Underground Neutrino Experiment, hosted by Fermilab, with other liquid-argon particle detectors. One such detector is ICEBERG, which is over 10,000 times smaller than DUNE will be. ICEBERG’s measurements are providing insight for future neutrino experiments.

Tiffenberg shares the $100,000 prize for advances in dark matter detection technology. He and collaborators on the SENSEI experiment drove the development of innovative sensors called skipper CCDs, which are sensitive enough to be able to pick up signals from dark matter particles of low mass.

Humans and robots work together in a carefully choreographed dance to maintain peak production target performance in Mu2e’s search for new physics – direct muon-to-electron conversion.

The U.S. Department of Energy has selected Lawrence Berkeley National Laboratory to lead a DOE/NSF experiment that combines observatories at the South Pole and in Chile’s high desert. Fermilab plans to be a key partner on the experiment, called CMB-S4, which aims to undertake an unprecedented survey of the early universe.

Funding will go towards NSF-led AI Research Institutes and DOE QIS Research Centers over five years, establishing 12 multidisciplinary and multi-institutional national hubs for research and workforce development in these critical emerging technologies. Together, the institutes will spur cutting-edge innovation, support regional economic growth and advance American leadership in these critical industries of the future.